Hua Jin

26 papers and 1.0k indexed citations i.

About

Hua Jin is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Hua Jin has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Global and Planetary Change. Recurrent topics in Hua Jin’s work include Plant Stress Responses and Tolerance (5 papers), Rice Cultivation and Yield Improvement (4 papers) and Gamma-Aminobutyric Acid Metabolism in Plants (4 papers). Hua Jin is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Rice Cultivation and Yield Improvement (4 papers) and Gamma-Aminobutyric Acid Metabolism in Plants (4 papers). Hua Jin collaborates with scholars based in China, United States and South Korea. Hua Jin's co-authors include Ying Lü, Michael D. Ries, Sharmila Majumdar, Timothy C. Dunn, A. James Barkovich, Daniel B. Vigneron, Orit A. Glenn, Roland G. Henry, Jeffrey Berman and Pratik Mukherjee and has published in prestigious journals such as NeuroImage, Radiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Co-authorship network of co-authors of Hua Jin i

Fields of papers citing papers by Hua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hua Jin. The network helps show where Hua Jin may publish in the future.

Countries citing papers authored by Hua Jin

Since Specialization
Citations

This map shows the geographic impact of Hua Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hua Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Jin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025